| Study on an automatic sorting system for Date fruits R Pourdarbani, HR Ghassemzadeh, H Seyedarabi, FZ Nahandi, ... Journal of the Saudi Society of Agricultural Sciences 14 (1), 83-90, 2015 | 84 | 2015 |
| Thermodynamic, exergo-economic and exergo-environmental analysis of hybrid geothermal-solar power plant based on ORC cycle using emergy concept M Alibaba, R Pourdarbani, MHK Manesh, GV Ochoa, JD Forero Heliyon 6 (4), 2020 | 60 | 2020 |
| Automatic non-destructive video estimation of maturation levels in Fuji apple (Malus Malus pumila) fruit in orchard based on colour (Vis) and spectral (NIR) data R Pourdarbani, S Sabzi, D Kalantari, R Karimzadeh, E Ilbeygi, JI Arribas Biosystems Engineering 195, 136-151, 2020 | 47 | 2020 |
| A computer vision system based on majority-voting ensemble neural network for the automatic classification of three chickpea varieties R Pourdarbani, S Sabzi, D Kalantari, JL Hernández-Hernández, JI Arribas Foods 9 (2), 113, 2020 | 37 | 2020 |
| Non-destructive visible and short-wave near-infrared spectroscopic data estimation of various physicochemical properties of Fuji apple (Malus pumila) fruits at different … R Pourdarbani, S Sabzi, D Kalantari, JI Arribas Chemometrics and Intelligent Laboratory Systems 206, 104147, 2020 | 33 | 2020 |
| Factors affecting the adoption of agricultural automation using Davis’s acceptance model (case study: Ardabil) M Salimi, R Pourdarbani, BA Nouri Acta Technologica Agriculturae 23 (1), 30-39, 2020 | 30 | 2020 |
| Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions DKJMMM Razieh Pourdarbani, Sajad Sabzi, Mario Hernández-Hernández, José Luis ... remote sensing 11 (2546), 2019 | 28 | 2019 |
| Automatic classification of chickpea varieties using computer vision techniques R Pourdarbani, S Sabzi, VM García-Amicis, G García-Mateos, ... Agronomy 9 (11), 672, 2019 | 27 | 2019 |
| Designing a fruit identification algorithm in orchard conditions to develop robots using video processing and majority voting based on hybrid artificial neural network S Sabzi, R Pourdarbani, D Kalantari, T Panagopoulos Applied Sciences 10 (1), 383, 2020 | 22 | 2020 |
| Early detection of excess nitrogen consumption in cucumber plants using hyperspectral imaging based on hybrid neural networks and the imperialist competitive algorithm S Sabzi, R Pourdarbani, MH Rohban, G García-Mateos, J Paliwal, ... Agronomy 11 (3), 575, 2021 | 21 | 2021 |
| Estimation of different ripening stages of Fuji apples using image processing and spectroscopy based on the majority voting method R Pourdarbani, S Sabzi, D Kalantari, J Paliwal, B Benmouna, ... Computers and Electronics in Agriculture 176, 105643, 2020 | 21 | 2020 |
| A computer vision system for the automatic classification of five varieties of tree leaf images S Sabzi, R Pourdarbani, JI Arribas Computers 9 (1), 6, 2020 | 17 | 2020 |
| Nondestructive estimation of three apple fruit properties at various ripening levels with optimal Vis-NIR spectral wavelength regression data R Pourdarbani, S Sabzi, JI Arribas Heliyon 7 (9), 2021 | 16 | 2021 |
| Conventional and Advanced Exergy-Based Analysis of Hybrid Geothermal–Solar Power Plant Based on ORC Cycle M Alibaba, R Pourdarbani, M Hasan Khoshgoftar Manesh, ... Applied Sciences 10 (15), 5206, 2020 | 14 | 2020 |
| Feasibility study of apple quality grading using image processing R Pordarbani, HR Gasemzadeh, AA Golzadeh, H Behfar Journal of food research 19 (1), 75-85, 2009 | 14 | 2009 |
| Using metaheuristic algorithms to improve the estimation of acidity in Fuji apples using NIR spectroscopy R Pourdarbani, S Sabzi, MH Rohban, G Garcia-Mateos, J Paliwal, ... Ain Shams Engineering Journal 13 (6), 101776, 2022 | 12 | 2022 |
| Classification of cucumber leaves based on nitrogen content using the hyperspectral imaging technique and majority voting S Sabzi, R Pourdarbani, MH Rohban, A Fuentes-Penna, ... Plants 10 (5), 898, 2021 | 10 | 2021 |
| Non-destructive estimation of total chlorophyll content of apple fruit based on color feature, spectral data and the most effective wavelengths using hybrid artificial neural … R Pourdarbani, S Sabzi, M Hernández-Hernández, ... Plants 9 (11), 1547, 2020 | 10 | 2020 |
| Automatic detection of greenhouse plants pests by image analysis R Pourdarbani, B Rezaei Tarım Makinaları Bilimi Dergisi 7 (2), 171-174, 2011 | 10 | 2011 |
| One-dimensional convolutional neural networks for hyperspectral analysis of nitrogen in plant leaves R Pourdarbani, S Sabzi, MH Rohban, JL Hernández-Hernández, ... Applied Sciences 11 (24), 11853, 2021 | 9 | 2021 |
Sajad SabziDepartment of Computer Engineering, Sharif University of Technology, Tehran 11155-1639, IranDirección de correo verificada de sharif.edu
